Data Science Developer Hiring Trends in Finland

This report was last updated on Jul 26, 2025

Bence Gedai

Founder

I analyze live hiring data and tech job trends across Europe to give CTOs and Product Leaders a strategic edge. By tracking tens of thousands of open roles each week, I uncover which skills, roles, and locations are in highest demand — potential competitors, typical time to hire, talent pool sizes, and more to help you prioritize hiring, benchmark and stay competitive in a fast-moving market.

Key learnings from this report

The Data Data Science Engineers job market in Finland is characterized by notable fluctuations, with a peak of 38 new positions in week 21 and 40 positions closed in week 24, indicating a competitive landscape for hiring managers.
Currently, there are 9 openings associated with Aalto University, 6 openings each from Canonical and TELUS Digital, showcasing the active participation of both educational institutions and tech companies in recruiting Data Science talent.
Helsinki dominates as the primary hub for Data Data Science Engineer opportunities, accounting for 68% of openings, followed by Espoo at 19% and Tampere at 13%, highlighting strategic locations for hiring efforts in Finland.
The talent pool for Data Data Science Engineers in Finland presents challenges due to its limited size in comparison to the demand, making it essential for CTOs and Engineering Managers to refine their recruitment strategies.
Companies in Finland typically prefer full-time employment, with 94% of available roles fitting this category, emphasizing the need for stability and long-term commitments in engineering positions.

Number of roles opened and closed for Data Science Engineers in Finland in the last 3 months

The Data Data Science Engineer job market in Finland has exhibited notable variability over the past 12 weeks. The peak in job openings occurred in week 21, with 38 new positions posted, while the lowest point was in week 22 with only 7 openings. In contrast, the number of jobs closed has remained relatively high, peaking at 40 closures in week 24. This dynamic suggests a competitive landscape for Data Data Science Developers, as hiring may fluctuate significantly compared to other European countries, indicating a potential for talent scarcity. Recruitment strategies for CTOs in Finland's tech sector should consider this volatility to ensure effective talent acquisition.

Who else is hiring for data Engineers in Finland:

Company name	Country	Industry	Founded	# Job openings
Aalto University	null	null	null	9
Canonical	United Kingdom	Information Technology & Services	2004	6
TELUS Digital	Canada	Information Technology & Services	2005	6
University of Helsinki	null	null	null	6
Vincit	Poland	Information Technology & Services	2007	5
PhDFinder	Germany	Education Management	null	5
Nortal	Estonia	Information Technology & Services	2000	5
Huawei	China	Telecommunications	1987	5
Reaktor	Finland	Information Technology & Services	2000	5
Eaton	Ireland	Electrical/electronic Manufacturing	1911	4

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Talent pool vs job openings for Data Engineers in Finland

How competitive it is to hire Data Engineers in Finland

The data for the Data Data Science Engineers job market reveals significant variations across Europe. In Finland, the ratio of talent pool to job openings suggests a competitive hiring landscape, with a considerable demand for skilled Data Science professionals. Compared to neighboring countries such as Sweden and Denmark, where the job growth is robust yet talent supply remains strained, Finland presents a unique scenario. With a similar trend observed in the Netherlands, the relative scarcity of qualified candidates may pose challenges for hiring managers. Consequently, recruitment strategies for CTOs and Engineering Managers in Finland's tech sector must adapt to this competitive environment, focusing on innovative approaches to attract top Data Data Science talent.

Seniority distribution of Data Science Engineer job openings in Finland

Seniority Distribution of Data Science Engineering Jobs in Finland

In the Finnish job market for Data Data Science Engineers, the seniority distribution reveals notable trends relevant for hiring managers. Approximately 52% of the available positions are at the Mid-Senior level, while Entry level roles account for about 27%, and Internship opportunities make up roughly 14%. This distribution indicates a strong demand for experienced professionals, highlighting the importance for CTOs and Engineering Managers to refine their recruitment strategies to attract skilled candidates in Finland's competitive technology sector.

Preferred employment type for Engineering roles in Finland

In Finland's engineering job market, the dominant employment type is full-time positions, comprising 94% of the total roles available. Contract roles follow, making up 6% of the market, while part-time opportunities account for 3%. This distribution highlights the strong preference for stable, long-term employment among engineers, signifying a critical aspect for hiring managers considering recruitment strategies in Finland's tech sector.

Time to Hire Distribution for Data in Finland

How long does it take to hire Data Engineers

The analysis of the time to hire distribution for Data Science Engineers in Finland indicates a diverse hiring landscape. Notably, the highest count of hires, reaching 249, occurs within the 30-day timeframe, suggesting an intensifying recruitment drive in the technology sector. As we progress, the timespan of 25 to 35 days alone accounts for a significant number of hires, totaling approximately 243. However, as the timeline extends beyond 40 days, a discernible decline in hiring frequency is observed, with counts gradually decreasing. This data reflects the competitive nature of the Data Science job market in Finland and underscores the necessity for effective recruitment strategies to attract top talent swiftly.

Expolore reports from other European Developer talent pools

Insights for hiring Data Engineers in Estonia

The Data Engineer job market in Estonia is characterized by a net increase in job opportunities, with 67 new roles opened versus 30 closed in the last 12 weeks, pointing to a dynamic recruitment landscape.

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Insights for hiring Data Science Engineers in Lund

The Data Data Science Engineer job market in Sweden Lund has experienced a modest activity with 8 new positions posted in the last three months, contrasted by 11 closed roles, indicating a net loss of job availability and a competitive hiring landscape.

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Insights for hiring Data Science Engineers in Wrocław

The Data Data Science Engineers job market in Wrocław, Poland, has seen significant fluctuations over the last three months, with a peak of 13 new roles posted in week 22, making it essential for hiring managers to adopt responsive recruitment strategies.

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Most popular cities in Finland to hire Data Engineers

Top 5 cities in Finland to hire Data Engineers

In Finland, the job market for Data Data Science Engineers exhibits a significant concentration in its capital, Helsinki, which accounts for 68% of all openings. Following Helsinki, Espoo represents 19%, while Tampere holds 13% of the total job opportunities. This distribution underscores Helsinki's prominence as the primary hub for Data Data Science roles within the country, as illustrated in the accompanying chart.

Most sought after technologies in Finland for Data Science

Key technologies for Data Science Engineers

In the rapidly evolving Data Data Science job market in Finland, certain technologies are consistently in high demand. According to recent data, Python leads the charge with a remarkable frequency of 7,115, making it indispensable for Data Science roles. Following closely are Machine Learning and SQL, with 3,259 and 2,398 usages respectively, showcasing their critical importance in data manipulation and analysis. Java also maintains a strong presence with 2,328, while the .NET framework, alongside C#, further solidifies its relevance with frequencies of 1,250 and 911 respectively. For visual insights, please refer to the accompanying chart that elaborates on these prevalence trends.

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